中职学籍档案管理的问题分析及对策

通过对档案管理中存在的问题进行分析，提出了提高学籍档案管理效率的对策，以期能为中职学籍档案的管理工作提供有益的参考和借鉴。     

考虑社会网络关系的P2P借贷项目违约风险预测

针对P2P（Peer to Peer）借贷项目违约风险预测中财务信息不完全或质量较低、预测准确率不高等问题,提出了一种考虑平台社会网络关系的P2P借贷项目违约风险预测的方法。通过对P2P借贷平台社会网络相关信息进行分析,从社会资本的结构维度、关系维度和认知维度发掘其中具有风险预测价值的关键特征,即社会网络风险特征,并将这些特征作为预测指标用于违约风险预测,依据多种非线性预测方法分别构建基于传统财务指标预测模型和引入社会网络风险特征后的混合指标预测模型,并对模型的预测结果进行了对比分析。实验结果表明,P2P借贷社会网络关系中蕴含着与借贷项目违约风险显著相关的特征,通过对这些特征进行有效挖掘并将其合理引入P2P借贷项目违约风险预测模型,有助于提高借贷项目违约风险预测效果,为投资者的投资风险规避及P2P借贷市场风险管理提供支持。     

一种基于用户投资偏好与产品特征的P2P网贷个性化推荐算法

互联网金融的蓬勃发展,在将普惠金融的实惠带给投资者的同时,也因理财产品的多样化,给投资者带来了挑选适合自己的网贷产品的困扰。鉴于此,系统结合P2P网贷平台投资者的个人投资偏好和平台产品的特征,设计了一种基于用户账户持续时间、活跃度及投资偏好的P2P网贷个性化推荐算法,以节约投资者决策时间,加快平台资金筹集进度。     

Judging online peer-to-peer lending behavior: A comparison of first-time and repeated borrowing requests

The past decade has witnessed a growing number of business models that facilitate economic exchanges between individuals with limited institutional mediation. One of the important innovative business models is online peer-to-peer lending, which has received wide attention from government, industry, and researchers. Using the signaling theory, we compare the effects of various signals on the likelihood of successful funding in three models (i.e., first-time borrowing, repeated borrowing without prior lending, and repeated borrowing with prior lending). Using data collected from PPDAI.com, we verify the three proposed models by employing logistic regression. Results and implications are analyzed and discussed.     

基于LASSO回归模型的网贷借款成功影响因素挖掘

随着P2P网络借贷交易量的增大,对P2P交易数据的挖掘和分析备受关注,其中一项重要的研究课题是网络借款成功率的影响因素分析.现有的文献多采用线性回归方法对该课题进行研究,但未考虑变量之间的多重共线性和采用最优变量子集建立回归模型的问题.本文采用Lasso回归方法,建立最优变量子集的回归模型对影响网络借款成功率的因素进行分析,避免了多重共线性问题对模型的干扰,同时提高了模型对数据的拟合精度.对Lending Club平台的借贷数据的实证分析结果显示,本文方法在模型的拟合精度和避免共线性方面优于对比方法.     

Bidding strategies for real-life small loan auctions

We define and identify bidding strategies in real-life small loan auctions (Prosper.com). In such auctions, lenders bid for borrowers' loan listings and the winners get to fund the loan at an interest rate determined by the auction. The exceptionally large empirical database provided by Prosper.com offers a unique opportunity to test and further develop the theory of online auctions. This study shows that bidding behavior is not homogeneous among bidders, as the traditional auction theory suggests. Instead, bidders use many different bidding strategies. Moreover, learning and bidders' consistency over time in different auctions is studied.     

Financialization and the subprime subject: the experiences of homeowners during California’s housing boom

This paper extends scholarship on the ‘everyday practices’ of global finance by specifically examining the decisions, motivations, and financial practices of homeowners caught up in the subprime lending boom in California. Drawing on evidence from 80 in-depth interviews in Oakland and Stockton, the paper explores how homeowners enacted their own subject positions within the financial ecologies of subprime markets. The research enriches and complicates our understanding of the interplay between financialization and the formation of financial subjects, and highlights how race and class, affective ties, and distinct socio-spatial relations shape and inform borrowers’ financial decisions and practices, even during a period of excessive credit access and house price speculation.     

Strengthening housing finance in emerging markets: the savings and credit cooperative organisation (SACCO) model in Kenya

Abstract

Savings have long been an essential source of funding for credit. Whether in Europe, North America, Africa, Asia or Latin America, community-based financial institutions have relied on deposits to make financial services accessible to moderate-income borrowers. Despite the foundational role savings and loans have had in financial sector development, emerging markets have largely overlooked the important role these institutions can have in providing shelter credit in their own contexts. Savings and Credit Cooperative Organisations (SACCOs) in the Republic of Kenya illustrate the potential model for deposit-based lending to deliver housing finance for many of the country’s underserved prospective borrowers. This study draws upon the experiences of several savings and loan associations in the industrialized world with applications towards improving the Kenyan SACCO model that provides the most extensive credit union loans on the African continent. The article concludes community finance institutions merit strong consideration towards helping overcome the housing finance sector underdevelopment too often experienced in the developing world.     

考虑碳限额与销售努力的低碳供应链融资决策

将零售商销售努力内化,构建制造商碳减排资金约束的决策模型,研究制造商分别通过银行借贷、股权融资和组合融资的运营决策和融资策略。研究发现：碳减排资金较为短缺时,银行借贷并不总能使制造商获益,只有银行借贷带来的边际收益高于资金的影子价格,即减排资金严重不足时,银行借贷才能为制造商带来收益。政府碳配额的取值不会影响制造商的低碳融资渠道选择,股权融资下的减排量和销售努力水平最高,社会效益最大,组合融资次之,银行借贷最低。分红比例小于一定值时,股权融资对制造商更有利,否则银行借贷才是最佳低碳融资渠道。